TECHNICAL FIELD
[0001] The present disclosure relates to a sleep control apparatus.
BACKGROUND ART
[0002] Patent Document 1 discloses an alarm device that informs a sleeper of awakening when
a predetermined condition is met. The condition for the device to inform the sleeper
of awakening includes a condition that the sleeper is in REM sleep. The device determines
whether the sleeper is in REM sleep based on a determination index which is a periodic
component corresponding to an ultradian rhythm of a heart rate of the sleeper.
CITATION LIST
PATENT DOCUMENT
SUMMARY
TECHNICAL PROBLEM
[0004] Some physiological phenomena of an organism vary periodically. Cycles of variation
of such physiological phenomena include a cycle having an almost one day period called
a circadian rhythm, and a cycle with a period shorter than the circadian rhythm, e.g.,
a period of several tens of minutes to several hours, called an ultradian rhythm.
Thus, determination of the sleep state of a target person based on "the periodic component
corresponding to the ultradian rhythm of the heart rate of the target person" requires
measurement of the heart rate of the target person for several tens of minutes to
several hours.
[0005] However, when a target person is taking a relatively short sleep or nap, it is necessary
to awaken the target person after a relatively short time (e.g., 20 minutes to 30
minutes) has passed since the target person fell asleep. Thus, a device that determines
the sleep state of the target person based on the periodic component corresponding
to the ultradian rhythm of the target person's physiological phenomenon has difficulty
in awakening the target person at the right timing after a relatively short time has
passed since the target person fell asleep.
[0006] It is therefore an object of the present disclosure to awaken the target person at
the right timing.
SOLUTION TO THE PROBLEM
[0007] A first aspect of the present disclosure is directed to a sleep control apparatus
(10). The sleep control apparatus (10) includes: a biological information acquisition
section (21) configured to acquire biological information of a target person (60);
a determination section (31) configured to determine an awakening point based on target
data (42) which is time-series data of the biological information of the target person
(60) acquired by the biological information acquisition section (21) in a predetermined
target period, the awakening point being a time point after the target period has
passed and at which the target person (60) is awakened; and a controller (36) configured
to control a predetermined target device (57) so that the target device (57) stimulates
the target person (60) to wake up at the awakening point determined by the determination
section (31). The target period is a period between wakefulness to falling asleep
of the target person (60), or a period from the wakefulness of the target person (60)
to a time point at which a predetermined time has passed since the target person (60)
fell asleep.
[0008] In the first aspect, the determination section (31) determines the awakening point
based on the target data (42). The target data (42) is time-series data of biological
information of the target person (60) in the target period including a period of wakefulness
of the target person (60). The awakening point is a time point at which the target
person (60) is awakened after the target period has passed. Thus, the sleep control
apparatus of this aspect can awaken the target person (60) at the right timing even
when a period between the falling asleep of the target person (60) and the awakening
point is relatively short.
[0009] A second aspect of the present disclosure is an embodiment of the first aspect. In
the second aspect, the determination section (31) determines the awakening point based
on reference data (41) which is time-series data of the biological information acquired
in advance from a plurality of subjects in a period before and after the falling asleep
of each subject and the target data (42).
[0010] In the second aspect, the determination section (31) determines the awakening point
based on the reference data (41) related to the plurality of subjects including humans
other than the target person (60) and the target data (42) related to the target person
(60). Thus, the sleep control apparatus can awaken the target person (60) at the right
timing without acquiring information on the sleep of the target person (60) in advance.
[0011] A third aspect of the present disclosure is an embodiment of the second aspect. In
the third aspect, the determination section (31) predicts a temporal change in sleep
depth of the target person (60) after the lapse of the target period based on the
target data (42) and the reference data (41), and determines the awakening point based
on the predicted temporal change in the sleep depth of the target person (60).
[0012] In the third aspect, the determination section (31) refers to the target data (42)
and the reference data (41) to predict the "temporal change in the sleep depth of
the target person (60)" used for determining the awakening point.
[0013] A fourth aspect of the present disclosure is an embodiment of the third aspect. In
the fourth aspect, the determination section (31) determines, as the awakening point,
a time point at which the sleep depth of the target person (60) reaches a predetermined
value in the predicted temporal change in the sleep depth of the target person (60).
[0014] In the fourth aspect, the awakening point is determined based on the predicted temporal
change in the sleep depth of the target person (60).
[0015] A fifth aspect of the present disclosure is an embodiment of any one of the first
to fourth aspects. In the fifth aspect, the determination section (31) determines,
as the awakening point, a time point within a period in which the sleep depth of the
target person (60) shifts to a deeper stage after the target person (60) fell asleep.
[0016] In the fifth aspect, the determination section (31) determines, as the awakening
point, a time point at which the sleep depth of the target person (60) first reaches
the deepest stage after the target person (60) fell asleep. Thus, the sleep control
apparatus of this aspect can awaken the target person (60) at a timing suitable for
a nap.
[0017] A sixth aspect of the present disclosure is an embodiment of any one of the first
to fifth aspects. In the sixth aspect, the sleep control apparatus further includes:
an environment information acquisition section (22) configured to acquire environment
information on an environment around the target person (60). The determination section
(31) determines the awakening point based on the environment information acquired
by the environment information acquisition section (22) and the target data (42).
[0018] The determination section (31) of the sixth aspect determines the awakening point
based on at least the target data (42) and the environment information. Thus, the
sleep control apparatus of this aspect can awaken the target person (60) at the right
timing taking the environment around the target person (60) into consideration.
[0019] A seventh aspect of the present disclosure is an embodiment of any one of the first
to sixth aspects. In the seventh aspect, the sleep control apparatus further includes:
a preference information acquisition section (23) configured to acquire preference
information on preference of the target person (60) in the environment. The controller
(36) determines details of control of the target device (57) based on the preference
information acquired by the preference information acquisition section (23).
[0020] The controller (36) of the seventh aspect determines the details of control of the
target device (57) based on the preference information. This configuration can stimulate
the target person (60) to wake up in accordance with the preference of the target
person (60).
[0021] An eighth aspect of the present disclosure is an embodiment of any one of the first
to seventh aspects. In the eighth aspect, the sleep control apparatus further includes:
a state information acquisition section (24) configured to acquire state information
on the state of the target person (60) sleeping or after awakening. The controller
(36) determines details of control of the target device (57) based on the state information
acquired by the state information acquisition section (24).
[0022] The controller (36) of the eighth aspect determines the details of control of the
target device (57) based on the state information. This can improve the state of the
target person (60) sleeping or after awakening when the target person (60) next uses
the sleep control apparatus (10).
BRIEF DESCRIPTION OF THE DRAWINGS
[0023]
FIG. 1 is a block diagram illustrating a configuration of a sleep control apparatus
according to an embodiment.
FIG. 2 is a diagram illustrating how a determination section of an arithmetic unit
according to the embodiment operates.
FIG. 3 is a graph showing an example of prediction data generated by a prediction
data generator according to the embodiment.
DESCRIPTION OF EMBODIMENTS
[0024] An embodiment will be described below. A sleep control apparatus (10) of the present
embodiment is an apparatus that awakens a target person (60) sleeping, especially
taking a nap, at the right timing.
[0025] As illustrated in FIG. 1, the sleep control apparatus (10) of the present embodiment
communicates via wires or wirelessly with a body motion sensor (50), an environment
sensor (55), an information terminal (56), and a target device (57) to be controlled
by the sleep control apparatus (10). The sleep control apparatus (10) mainly acquires
information from the body motion sensor (50), the environment sensor (55), and the
information terminal (56), and outputs a control signal to the target device (57).
-Body Motion Sensor-
[0026] The body motion sensor (50) includes a pressure sensitive section (51) and a signal
processor (52). The body motion sensor (50) is installed in a couch (61) on which
the target person (60) takes a nap. The body motion sensor (50) detects a body motion
accompanying body processes of the target person (60), e.g., a heartbeat, breathing,
and turning over in bed, and outputs biological information of the target person (60)
obtained by processing a signal (body motion signal) related to the detected body
motion.
[0027] Although not shown, the pressure sensitive section (51) includes a flexible tube
made of resin and a sensor provided at one end of the tube. The tube of the pressure
sensitive section (51) is arranged to cross the seat of the couch (61). An internal
pressure of the tube varies depending on the body motion of the target person (60)
lying on the couch (61). The sensor is a microphone that converts the change in the
internal pressure of the tube into an electrical signal. The electrical signal outputted
by the sensor is the body motion signal of the target person (60).
[0028] The signal processor (52) processes the body motion signal outputted from the sensor
of the pressure sensitive section (51), and extracts biological information of the
target person (60) from the body motion signal. The biological information of the
target person (60) obtained by the signal processor (52) is time-series data of the
target person (60) per unit time, such as a heart rate, a respiration rate, and a
body motion frequency. The signal processor (52) transmits the obtained biological
information of the target person (60) to the sleep control apparatus (10).
[0029] The body motion sensor (50) is not limited to be installed in the couch (61). The
body motion sensor (50) may be provided for an object that the target person (60)
uses to sleep. Examples of the object to be provided with the body motion sensor (50)
include a bed on which the target person (60) lies, a sofa or an easy chair on which
the target person (60) sits in a relaxed posture.
-Environment Sensor-
[0030] The environment sensor (55) includes a plurality of sensors that measure indexes
related to the environment of the space where the couch (61) on which the target person
(60) lies is placed. Examples of the sensors constituting the environment sensor (55)
include a temperature sensor for measuring indoor air temperature, a humidity sensor
for measuring indoor air humidity, an illuminance sensor for measuring indoor brightness,
a wind speed sensor for measuring indoor wind speed, and a noise sensor for measuring
indoor noise. Each sensor constituting the environment sensor (55) transmits a measurement
value to the sleep control apparatus (10).
[0031] The sensors constituting the environment sensor (55) are selected depending on the
type of the target device (57) to be controlled by the sleep control apparatus (10).
For example, when the target device (57) includes an air conditioner, at least a temperature
sensor that measures the indoor air temperature constitutes the environment sensor
(55). When the target device (57) includes an illuminator, at least an illuminance
sensor that measures the indoor brightness constitutes the environment sensor (55).
-Information Terminal-
[0032] The information terminal (56) is, for example, a smartphone or a tablet personal
computer. A predetermined application program is installed in the information terminal
(56). The information terminal (56) functions as a preference information input section
and a state information input section by executing the application program.
[0033] The information terminal (56) functioning as the preference information input section
can receive input preference information on the preference of the target person (60)
in the environment. The preference information is, for example, information on the
preference of the target person (60) in the indoor air temperature, the indoor air
humidity, the indoor brightness, and the color of illumination.
[0034] The information terminal (56) functioning as the state information input section
can receive state information on the state of the target person (60) sleeping or after
awakening. The state information is, for example, information on comfortability during
sleep, e.g., it was hot or cold during sleep, and the feeling of the subject after
awakening, e.g., the subject feels refreshed, or wishes to sleep more.
[0035] The information terminal (56) can also receive identification information for identifying
the target person (60) who has entered the preference information and the state information
to the information terminal (56). The identification information is, for example,
an employee number unique to the target person (60). The information terminal (56)
transmits the preference information, state information, and identification information
of the target person (60) inputted to the information terminal (56) to the sleep control
apparatus (10).
-Target Device-
[0036] The target device (57) is a device to be controlled by the sleep control apparatus
(10) of the present embodiment. The target device (57) is capable of stimulating the
target person (60) to wake up.
[0037] Examples of the target device (57) include a device that stimulates the target person
(60) with sound, such as a buzzer, a chime, and an audio device, a device that stimulates
the target person (60) with temperature, such as an air conditioner for conditioning
the indoor space, a device that stimulates the target person (60) with light, such
as an illuminator placed in the room, a device that stimulates the target person (60)
with scent, such as an aroma diffuser for emitting aromatic components of aromatic
oil, and a device that physically stimulates the target person (60), such as a vibrator
that shakes the target person, and a reclining device that raises the target person's
body. The target device (57) may include one or more devices.
-Sleep Control Apparatus-
[0038] The sleep control apparatus (10) includes a communication unit (20), an arithmetic
unit (30), and a storage unit (40).
<Communication Unit>
[0039] The communication unit (20) is a communication module that communicates with the
body motion sensor (50), the environment sensor (55), the information terminal (56),
and the target device (57). The communication unit (20) includes a biological information
acquisition section (21), an environment information acquisition section (22), a preference
information acquisition section (23), a state information acquisition section (24),
and an identification information acquisition section (25).
[0040] The biological information acquisition section (21) receives biological information
of the target person (60) outputted by the signal processor of the body motion sensor
(50), and transmits the received biological information of the target person (60)
to the arithmetic unit (30). The environment information acquisition section (22)
receives measurement values outputted from various sensors constituting the environment
sensor (55), and transmits the received measurement values to the storage unit (40)
as environment information. The preference information acquisition section (23) receives
the preference information outputted from the information terminal (56) and transmits
the received preference information to the storage unit (40). The state information
acquisition section (24) receives the state information outputted from the information
terminal (56) and transmits the received state information to the storage unit (40).
The identification information acquisition section (25) receives the identification
information outputted by the information terminal (56) and transmits the received
identification information to the storage unit (40).
<Storage Unit>
[0041] The storage unit (40) is, for example, a semiconductor memory including an integrated
circuit. The storage unit (40) stores a program for allowing the arithmetic unit (30)
to execute a predetermined operation, and data necessary for the operation of the
arithmetic unit (30).
[0042] The storage unit (40) stores reference data (41) acquired in advance, and target
data (42) and prediction data (43) generated by the arithmetic unit (30). The storage
unit (40) stores the environment information, the preference information, the state
information, and the identification information transmitted from the communication
unit (20). The storage unit (40) stores the preference information and the state information
in association with the identification information of the target person (60) who has
entered the preference information and the state information to the information terminal
(56).
<Arithmetic Unit>
[0043] The arithmetic unit (30) is, for example, a microprocessor including an integrated
circuit. The arithmetic unit (30) functions as a determination section (31) and a
controller (36) when executing a program stored in the storage unit (40).
[0044] The determination section (31) includes a target data generator (32), a prediction
data generator (33), a sleep rhythm prediction section (34), and an awakening point
setting section (35). The determination section (31) determines an awakening point
Taw at which the target person (60) is awakened based on the reference data (41) and
the target data (42) stored in the storage unit (40). Each of the target data generator
(32), prediction data generator (33), sleep rhythm prediction section (34), and awakening
point setting section (35) of the determination section (31) performs a predetermined
operation to determine the awakening point Taw.
[0045] The controller (36) generates a control signal for controlling the target device
(57). The control signal generated by the controller (36) is a signal that instructs
the target device (57) to perform an operation of giving the target person (60) a
stimulus that awakens the target person (60) at the awakening point Taw. The communication
unit (20) transmits the control signal generated by the controller (36) to the target
device (57).
-Operation of Sleep Control Apparatus-
[0046] How the sleep control apparatus (10) operates will be described below. Operations
performed by the arithmetic unit (30) will be mainly described below. The reference
data (41) stored in the storage unit (40) will also be described.
<Target Data Generator of Determination Section>
[0047] The target data generator (32) of the determination section (31) generates the target
data (42) using the biological information of the target person (60) that the biological
information acquisition section (21) has received from the body motion sensor (50).
The target data (42) is time-series data of the biological information of the target
person (60) outputted by the body motion sensor (50) in a predetermined target period
Tm1.
[0048] The target period Tm1 for the target data generator (32) of the present embodiment
is a period from when the target person (60) lies on the couch (61) to when the target
person (60) falls asleep. The target data generator (32) generates data of the biological
information received from the body motion sensor (50) for the target period Tm1, i.e.,
the biological information of the target person (60) lying on the couch (61) for the
target period Tm1, in association with time when the biological information was detected,
and stores the data as the target data (42) in the storage unit (40).
<Prediction Data Generator of Determination Section>
[0049] As illustrated in FIG. 2, the prediction data generator (33) of the determination
section (31) generates the prediction data (43) using the target data (42) stored
in the storage unit (40). Specifically, the prediction data generator (33) reads the
target data (42) from the storage unit (40), and performs arithmetic processing using
the biological information included in the read target data (42) to calculate the
sleep depth of the target person (60). Then, the prediction data generator (33) generates
time-series data of the sleep depth of the target person (60) in the target period
Tm1, and stores the time-series data in the storage unit (40) as the prediction data
(43).
<Reference Data>
[0050] The reference data (41) stored in the storage unit (40) is data generated for a plurality
of subjects including humans other than the target person (60). This reference data
(41) is stored in advance in the storage unit (40) before the determination section
(31) performs a predetermined operation for the target person (60) lying on the couch
(61).
[0051] As illustrated in FIG. 2, the reference data (41) is a set of sub data (41a) acquired
from different subjects. Each sub data (41a) represents a sleep rhythm of one subject,
i.e., time-series data representing a temporal change in sleep depth. Each sub data
(41a) of the reference data (41) is associated with the environment information on
the environment of the space where the subject was sleeping at the time of acquisition
of the sub data (41a), e.g., temperature, humidity, and illuminance of the space.
[0052] Each sub data (41a) is time-series data of the sleep depth in a period before and
after the falling asleep of the subject. Each sub data (41a) is preferably time-series
data including a first sleep cycle that comes first after the subject fell sleep.
Each sub data (41a) needs to include at least time-series data in an essential period
Tm2. The essential period Tm2 is a period between wakefulness of the subject and a
time point at which the sleep depth shifts to a shallower stage after going through
to a deeper stage.
[0053] The reference data (41) may include data generated in advance for the exact target
person (60) lying on the couch (61). The reference data (41) is preferably generated
for as many subjects as possible, e.g., several hundred subjects or more.
<Sleep Rhythm Prediction Section of Determination Section>
[0054] As illustrated in FIG. 2, the sleep rhythm prediction section (34) of the determination
section (31) generates a predicted sleep rhythm based on the prediction data (43)
and the reference data (41). The predicted sleep rhythm is time-series data of sleep
depth that includes a predicted value of a temporal change in sleep depth of the target
person (60) after the target period Tm1.
[0055] More specifically, the sleep rhythm prediction section (34) selects, from the set
of sub data (41a) constituting the reference data (41), some sub data (41a) in which
the "temporal change in sleep depth in the target period Tm1" is approximate to the
prediction data (43). Then, from the selected sub data (41a), the sleep rhythm prediction
section (34) selects one sub data (41a) in which the corresponding environment information
is the closest to the environment information at the time of acquisition of the target
data (42). Then, the sleep rhythm prediction section (34) sets the "temporal change
in sleep depth after the target period Tm1" in the finally selected one sub data (41a)
as the predicted value of the "temporal change in sleep depth after the target period
Tm1" for the target person (60) lying on the couch (61). This predicted value is indicated
by a dotted curve in the predicted sleep rhythm shown in FIG. 2.
<Awakening Point Setting Section of Determination Section>
[0056] The awakening point setting section (35) of the determination section (31) determines
an awakening point Taw, which is a time point at which the target person (60) is awakened,
based on the predicted sleep rhythm generated by the sleep rhythm prediction section
(34). The awakening point Taw is a time point after the target period Tm1 has passed.
The awakening point Taw is a time point within a period in which the sleep depth of
the target person (60) gradually shifts to a deeper stage after the target person
(60) fell asleep.
[0057] As illustrated in FIG. 3, the awakening point setting section (35) sets, as the awakening
point Taw, a time point at which the sleep depth first reaches a predetermined value
("3" in the present embodiment) in the predicted sleep rhythm after the falling asleep
of the target person (60). The awakening point Taw is specified by, for example, time
elapsed from the falling asleep of the target person (60) to the awakening point Taw.
<Controller>
[0058] The controller (36) generates a control signal for controlling the operation of the
target device (57). The control signal generated by the controller (36) is a signal
that instructs the target device (57) to perform a predetermined operation to give
the target person (60) a stimulus that awakens the target person (60) at the awakening
point Taw determined by the determination section (31). The control signal generated
by the controller (36) is transmitted from the communication unit (20) to the target
device (57).
[0059] Specific examples of the control signal will be described below. When the target
device (57) is "a device that stimulates the target person (60) with sound," the controller
(36) generates a control signal that instructs the target device (57) "to make a sound
at the awakening point Taw." When the target device (57) is "a device that stimulates
the target person (60) with temperature," the controller (36) generates a control
signal that instructs the target device (57) "to gradually lower or raise the indoor
air temperature a predetermined time before the awakening point Taw." When the target
device (57) is a "device that stimulates the target person (60) with light," the controller
(36) generates a control signal that instructs the target device (57) "to gradually
increase the indoor illuminance a predetermined time before the awakening point Taw."
When the target device (57) is a "device that stimulates the target person (60) with
scent," the controller (36) generates a control signal that instructs the target device
(57) "to start releasing aromatic components to the indoor space a predetermined time
before the awakening point Taw." When the target device (57) is "a device that physically
stimulates the target person (60)," the controller (36) generates a control signal
that instructs the target device (57) "to generate a physical stimulus, such as vibration,
at the awakening point Taw."
[0060] The controller (36) can output control signals to two or more target devices (57).
In this case, the controller (36) generates a control signal corresponding to each
target device (57). Then, the controller (36) transmits the generated control signals
to the target devices (57) respectively corresponding the control signals through
the communication unit (20).
[0061] When determining the details of the control signal, the controller (36) refers to
the preference information stored in the storage unit (40). For example, when the
preference information includes information indicating that "the target person (60)
easily feels cold," the controller (36) transmits the control signal to the air conditioner
as the target device (57) to instruct the air conditioner to "reduce the decrease
in the room temperature." When the preference information includes information indicating
that "the target person (60) prefers warm color," the controller (36) transmits the
control signal to the illuminator as the target device (57) to instruct the illuminator
to "emit warm color light."
[0062] When determining the details of the control signal, the controller (36) also refers
to the state information and the identification information stored in the storage
unit (40). Specifically, the controller (36) acquires the identification information
of the target person (60) lying on the couch (61), and reads the state information
associated with the same identification information as the acquired identification
information from the storage unit (40). For example, when the read state information
includes information indicating "the target person felt hot (last time)," the controller
(36) outputs a control signal including an instruction to lower the indoor air temperature
faster than the last use by the target person (60) to the air conditioner as the target
device (57). When the read state information includes information indicating "the
target person felt refreshed (last time)," the controller (36) outputs a control signal
including the same instruction as the signal outputted in the last use by the target
person (60) to the target device (57).
-Feature (1) of Embodiment-
[0063] The sleep control apparatus (10) of the present embodiment includes a biological
information acquisition section (21), a determination section (31), and a controller
(36). The biological information acquisition section (21) acquires biological information
of the target person (60). The determination section (31) determines an awakening
point Taw based on target data (42) which is time-series data of the biological information
of the target person (60) acquired by the biological information acquisition section
(21) in a predetermined target period Tm1.The awakening point Taw is a time point
after the target period Tm1 has passed and at which the target person (60) is awakened.
The controller (36) controls a predetermined target device (57) so that the target
device (57) stimulates the target person (60) to wake up at the awakening point Taw
determined by the determination section (31). The target period Tm1 is a period between
wakefulness to falling asleep of the target person (60).
[0064] The determination section (31) of the sleep control apparatus (10) of the present
embodiment determines the awakening point Taw based on the target data (42). The target
data (42) is time-series data of the biological information of the target person (60)
in the target period Tm1 including a period of wakefulness of the target person (60).
The awakening point Taw is a time point at which the target person (60) is awakened
after the target period Tm1 has passed. Thus, the sleep control apparatus of the present
embodiment can wake up the target person (60) at the right timing even when a period
between the falling asleep of the target person (60) and the awakening point Taw is
relatively short.
-Feature (2) of Embodiment-
[0065] The determination section (31) of the sleep control apparatus (10) of the present
embodiment determines the awakening point Taw based on reference data (41) and the
target data (42). The reference data (41) is time-series data of the biological information
acquired in advance from a plurality of subjects in a period before and after the
falling asleep of each subject.
[0066] The determination section (31) of the sleep control apparatus (10) of the present
embodiment determines the awakening point Taw based on the reference data (41) related
to the plurality of subjects including humans other than the target person (60) and
the target data (42) related to the target person (60). Thus, the sleep control apparatus
can awaken the target person (60) at the right timing without acquiring information
on the sleep of the target person (60) in advance.
-Feature (3) of Embodiment-
[0067] The determination section (31) of the sleep control apparatus (10) of the present
embodiment predicts a temporal change in sleep depth of the target person (60) after
the lapse of the target period Tm1 based on the target data (42) and the reference
data (41), and determines the awakening point Taw based on the predicted temporal
change in the sleep depth of the target person (60).
[0068] The determination section (31) of the present embodiment predicts the "temporal change
in the sleep depth of the target person (60)" used for determining the awakening point
Taw based on the target data (42) and the reference data (41).
-Feature (4) of Embodiment-
[0069] The determination section (31) of the sleep control apparatus (10) of the present
embodiment determines, as the awakening point Taw, a time point at which the sleep
depth of the target person (60) reaches a predetermined value in the predicted temporal
change in the sleep depth of the target person (60).
[0070] The determination section (31) of the present embodiment determines the awakening
point Taw based on the predicted "temporal change in the sleep depth of the target
person (60)."
-Feature (5) of Embodiment-
[0071] The determination section (31) of the sleep control apparatus (10) of the present
embodiment determines, as the awakening point Taw, a time point within a period in
which the sleep depth of the target person (60) shifts to a deeper stage after the
target person (60) fell asleep.
[0072] The determination section (31) of the present embodiment determines, as the awakening
point Taw, a time point at which the sleep depth of the target person (60) first reaches
the deepest stage after the target person (60) fell asleep. Thus, the sleep control
apparatus of the present embodiment can wake up the target person (60) at a timing
suitable for a nap.
-Feature (6) of Embodiment-
[0073] The sleep control apparatus (10) of the present embodiment includes an environment
information acquisition section (22) that acquires environment information on the
environment around the target person (60). The determination section (31) determines
the awakening point Taw based on the environment information acquired by the environment
information acquisition section (22) and the target data (42).
[0074] The determination section (31) of the sleep control apparatus (10) of the present
embodiment determines the awakening point Taw based on at least the target data (42)
and the environment information. Thus, the sleep control apparatus of the present
embodiment can wake up the target person (60) at the right timing taking the environment
around the target person (60) into consideration.
-Feature (7) of Embodiment-
[0075] The sleep control apparatus (10) of the present embodiment includes a preference
information acquisition section (23) that acquires preference information on the preference
of the target person (60) in the environment. The controller (36) determines the details
of control of the target device (57) based on the preference information acquired
by the preference information acquisition section (23).
[0076] The controller (36) of the present embodiment determines the details of control of
the target device (57) based on the preference information. This configuration can
stimulate the target person (60) to wake up in accordance with the preference of the
target person (60).
-Feature (8) of Embodiment-
[0077] The sleep control apparatus (10) of the present embodiment includes a state information
acquisition section (24) that acquires state information on the state of the target
person (60) sleeping or after awakening. The controller (36) determines details of
control of the target device (57) based on the state information acquired by the state
information acquisition section (24).
[0078] The controller (36) of the sleep control apparatus (10) of the present embodiment
determines the details of control of the target device (57) based on the state information.
This can improve the state of the target person (60) sleeping or after awakening when
the target person (60) next uses the sleep control apparatus (10).
-First Variation of Embodiment-
[0079] As described above, the target data (42) generated by the target data generator (32)
is time-series data of the biological information of the target person (60) outputted
by the body motion sensor (50) in a predetermined target period Tm1.The target period
Tm1 may be a period before and after the falling asleep of the target person (60).
Specifically, the target period Tm1 may be a period from "when the target person (60)
lies on the couch (61)" to "when a predetermined time, e.g., several minutes, has
passed since the target person (60) fell asleep."
-Second Variation of Embodiment-
[0080] The sleep rhythm prediction section (34) of the present embodiment may be configured
to generate a predicted sleep rhythm by what is called machine learning.
[0081] The storage unit (40) of the sleep control apparatus (10) of this variation stores
a learned model instead of the reference data (41). The sleep rhythm prediction section
(34) of the present variation inputs the target data (42) to the learned model and
sets the data thus obtained as the predicted sleep rhythm.
[0082] A process of creating a learned model of this variation will be described below.
First, a set of sub data (41a) same as that described above is acquired from a plurality
of subjects. Specifically, for each of the subjects, time-series data indicating "temporal
change in the sleep depth of the subject in a period before and after the falling
asleep of the subject" is acquired. This time-series data is referred to as subject
data. Part of the subject data, i.e., "time-series data of the subject's sleep depth"
in a period corresponding to the target period Tm1, is used as input data. The whole
subject data is used as teaching data. Then, a learned model is created using the
input data and the teaching data.
-Third Variation of Embodiment-
[0083] The storage unit (40) of the sleep control apparatus (10) of the present embodiment
does not need to be installed at the same place as the communication unit (20) and
the arithmetic unit (30). For example, the storage unit (40) may be provided in a
cloud server at a location remote from the communication unit (20) and the arithmetic
unit (30). In this case, the storage unit (40) communicates with the communication
unit (20) and the arithmetic unit (30) via a communication line such as the Internet.
[0084] While the embodiments and variations thereof have been described above, it will be
understood that various changes in form and details may be made without departing
from the spirit and scope of the claims. The foregoing embodiments and variations
thereof may be combined and replaced with each other without deteriorating the intended
functions of the present disclosure.
INDUSTRIAL APPLICABILITY
[0085] As can be seen from the foregoing description, the present disclosure is useful for
a sleep control apparatus.
DESCRIPTION OF REFERENCE CHARACTERS
[0086]
- 10
- Sleep Control Apparatus
- 21
- Biological Information Acquisition Section
- 22
- Environment Information Acquisition Section
- 23
- Preference Information Acquisition Section
- 24
- State Information Acquisition Section
- 31
- Determination Section
- 36
- Controller
- 41
- Reference Data
- 42
- Target Data
- 57
- Target Device
- 60
- Target Person